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van de Walle de Ghelcke, Alice; Rossion, Bruno; Schiltz, Christine; Lochy, Aliette – Developmental Science, 2021
The developmental course of neural tuning to visual letter strings is unclear. Here we tested 39 children longitudinally, at the beginning of grade 1 (6.45 ± 0.33 years old) and 1 year after, with fast periodic visual stimulation in electroencephalography to assess the evolution of selective neural responses to letter strings and their…
Descriptors: Beginning Reading, Grade 1, Grade 2, Elementary School Students
Allen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
Elizabeth A. Stevens; Sharon Vaughn – TEACHING Exceptional Children, 2021
The Institute for Education Sciences identifies main idea and summarization instruction as effective practices for improving adolescent students' reading comprehension. Main idea generation is a higher-level comprehension skill that requires students to read the text, connect information across the paragraph or section, determine the most…
Descriptors: Writing Instruction, Writing Skills, Reading Comprehension, Language Processing
Monica Yin-Chen Li – ProQuest LLC, 2021
There is a general consensus in theories of human speech recognition that humans engage in predictive processing during online speech processing. There are also claims that predictive processing indicates the operation of a predictive coding (PC) mechanism (Rao & Ballard, 1999). Formally, PC is a generative model where top-down signals consist…
Descriptors: Audio Equipment, Speech Communication, Error Patterns, Artificial Intelligence
Odden, Tor Ole B.; Marin, Alessandro; Caballero, Marcos D. – Physical Review Physics Education Research, 2020
We have used an unsupervised machine learning method called latent Dirichlet allocation (LDA) to thematically analyze all papers published in the Physics Education Research Conference Proceedings between 2001 and 2018. By looking at co-occurrences of words across the data corpus, this technique has allowed us to identify ten distinct themes or…
Descriptors: Physics, Science Education, Educational Research, Conferences (Gatherings)
Zajaczkowska, Maria; Abbot-Smith, Kirsten; Kim, Christina S. – Journal of Child Language, 2020
Mentalising has long been suggested to play an important role in irony interpretation. We hypothesised that another important cognitive underpinning of irony interpretation is likely to be children's capacity for mental set switching -- the ability to switch flexibly between different approaches to the same task. We experimentally manipulated…
Descriptors: Figurative Language, Task Analysis, Children, Language Acquisition
Zettersten, Martin; Schonberg, Christina; Lupyan, Gary – First Language, 2020
This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…
Descriptors: Models, Language Acquisition, Prediction, Language Processing
McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
Davidovitch, Nitza; Eckhaus, Eyal – Journal of Education and Learning, 2020
The current study is an exploratory study designed to examine the traits that are considered essential or important for research students, from the perspective of student advisors. The study addresses the broad question of whether and how academic faculty members select research students when seeking to maximize their own research outputs and…
Descriptors: Student Characteristics, Student Motivation, Research, College Faculty
Taikh, Alexander; Lupker, Stephen J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Considerable research effort has been devoted to investigating semantic priming effects, particularly, the locus of those effects. Semantically related primes might activate their target's lexical representation (through automatic spreading activation at short stimulus onset asynchronies (SOAs), or through generation of words expected to follow…
Descriptors: Semantics, Cues, Priming, Language Processing
Schiller, Isabel S.; Morsomme, Dominique; Kob, Malte; Remacle, Angélique – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children. Method: In individual examinations, 53 typically developing children aged 5-6 years performed a speech perception task (phoneme discrimination) and a listening…
Descriptors: Acoustics, Speech, Language Processing, Elementary School Students
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Technology, Knowledge and Learning, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
AL Qahtani, Osama – Advances in Language and Literary Studies, 2020
Most sacred texts are filled with denotative and connotative meanings, thus making theses texts holy and sacred. This results in making these texts sensitive when dealing with the original text or the translated text. The reason for this sensitivity can be due to the content of the taboo or hidden message within the text. Euphemism is one of the…
Descriptors: Translation, Islam, Semitic Languages, Religious Factors
Key, Alexandra P.; Venker, Courtney E.; Sandbank, Micheal P. – American Journal on Intellectual and Developmental Disabilities, 2020
It can be challenging to accurately assess speech and language processing in preverbal or minimally verbal individuals with neurodevelopmental disabilities (NDD) using standardized behavioral tools. Event-related potential and eye tracking methods offer novel means to objectively document receptive language processing without requiring purposeful…
Descriptors: Speech Impairments, Language Impairments, Language Processing, Neurological Impairments
Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries